cgevans / scikits-bootstrapLinks
Python/numpy bootstrap confidence interval estimation.
☆179Updated last month
Alternatives and similar repositories for scikits-bootstrap
Users that are interested in scikits-bootstrap are comparing it to the libraries listed below
Sorting:
- ☆159Updated 3 years ago
- Decorator for PyMC3☆50Updated 4 years ago
- Bayesian estimation supersedes the t test☆145Updated 3 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Conventionally parameterized probability distributions☆35Updated last year
- Generalized linear mixed-effect model in Python☆183Updated 7 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆231Updated 4 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- PCA that iteratively replaces missing data☆223Updated last year
- bayesian bootstrapping in python☆121Updated 3 years ago
- ☆73Updated 7 years ago
- Efficient pure Python implementation of Friedman's Supersmoother☆99Updated 2 weeks ago
- ☆41Updated 7 years ago
- Python implementation of elastic-net regularized generalized linear models☆284Updated 2 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.☆162Updated 6 years ago
- Python solver for mixed-effects models☆97Updated 4 months ago
- Generalized Linear Models in Sklearn Style☆129Updated 5 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆267Updated last year
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Updated 5 months ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- ☆80Updated 9 years ago
- Package template for a project using Cython☆58Updated 9 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago